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University of Cambridge 2024-2025

The rise of digital twin (DT) technologies, facilitated by affordable sensors and CAD advancements, spans industries such as manufacturing, construction, and life sciences, creating digital replicas of physical systems. Despite their broad application, the term "digital twin" lacks a universal definition due to industry-specific requirements. Definitions vary from detailed simulations in cardiac modelling to constructions in shipbuilding.

Frameworks proposed for DTs, ranging from 3D to 12D models, aim to classify these technologies but often result in excessive complexity or overgeneralisation. Effective DTs should support flexible, application-specific visualisations and functionalities, acknowledging diverse industry needs and practical implementations.

Therefore, how do we ensure that our Digital Twin representations meet these needs?

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